A month ago, I was bored, so I built a SOTA LLM inference engine from scratch using C++ and CUDA.
It achieved 109 tok/s on an RTX 3060, compared to @vllm_project 's 110 tok/s and @huggingface 's 86 tok/s.
1 person, 1 GPU, 1 month—here's how I did it.👇
Nice! Looks mostly like a groq wafer scale chip but if it’s highly programmable then it’s worth it. Hopefully they get a TSMC allocation sometime in the next few years lol
We’ve designed and built our first AI chip: Jalapeño.
Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products.
Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.
the level of sophon locking a motivated actor can pull off with the frontier models is truly insane, making stuxnet look like a toy. subtly messing with results, deleting history to cover tracks, achieving coordination/conspiracy over a scale humans wouldn’t be able to, all sorts of looney toons stuff
i assume that only a state level operation would try and pull something like this off though. something to think about when considering verification regimes and so on